code: def testJaxToTensorFlow(self, shape, dtype):
      if not config.enable_x64.value and dtype in [
          jnp.int64,
          jnp.uint64,
          jnp.float64,
      ]:
          self.skipTest("x64 types are disabled by jax_enable_x64")
      if jtu.test_device_matches(
          ["gpu"]
      ) and not tf.config.list_physical_devices("GPU"):
          raise self.skipTest(
              "TensorFlow not configured with GPU support"
          )
      rng = jtu.rand_default(self.rng())
      np = rng(shape, dtype)
      x = jnp.array(np)
      # TODO(b/171320191): this line works around a missing context initialization
      # bug in TensorFlow.
      _ = tf.add(1, 1)
      dlpack = jax.dlpack.to_dlpack(x)
      y = tf.experimental.dlpack.from_dlpack(dlpack)
      self.assertAllClose(np, y.numpy())
  
imports: import unittest
  from absl.testing import absltest
  import jax
  import jax.dlpack
  import jax.numpy
  from jax._src import config
  from jax._src import test_util
  from jax._src import xla_bridge
  from jax._src.lib import xla_extension_version
  import numpy
label_desc: Use image node_id 5 for calling the DLPackTest obj's underlying member method code with example usage: obj.testJaxToTensorFlow(shape, dtype) without return types